Spatial Web AI Podcast

NEW EPISODE: Denise Holt welcomes Daniel Friedman, Co-Founder and President of the Active Inference Institute, an open science organization supporting research and projects related to active inference. Active inference is an approach to modeling systems that involves perception, cognition, and action in an integrated way. Dr. Karl Friston’s Free Energy Principle provides the theoretical foundation for Active Inference. In the interview, Daniel explains that Active Inference aims to model systems ranging from simple to complex in a unified framework. Key features include interpretability of models and explicit representation of action. Researchers in fields like robotics are exploring active inference for its potential benefits. Daniel discusses upcoming educational offerings and events from the Institute, including the Applied Active Inference Symposium on "Enacting Ecosystems of Shared Intelligence." He emphasizes the importance of participatory, open ecosystems for advancing science and technology. The interviewer points to the VERSES AI whitepaper titled, “Designing Ecosystems of Intelligence from First Principles,” tying active inference to Spatial Web technologies like the Hyper Space Modeling Language. She sees potential for AI assistants as Intelligent Agents utilizing Active Inference and Spatial Web infrastructure to enable collective intelligence and seamless human-AI collaboration. View the VERSES whitepaper here: https://arxiv.org/abs/2212.01354 Chapters: 0:00 - Introduction 1:48 - Explaining Active Inference 4:50 - Free Energy Principle 7:00 - Perception and Action 9:23 - Benefits for AI 13:30 - Spatial Web 19:53 - Markov Blankets 25:53 - Future AI Assistants 32:33 - Upcoming Symposium 39:11 - Robotics Applications 41:06 – Conclusion Special thank you to Daniel, for being on our show! Learn more from the Active Inference Institute here: https://www.activeinference.org/ Register for the 2023 Applied Active Inference Symposium here: https://coda.io/@active-inference-institute/3rd-applied-active-inference-symposium Check out our other Episodes and watch all the videos in the Knowledge Bank Playlist to learn more about the Spatial Web and Active Inference AI. https://youtube.com/playlist?list=PLv0h9xFwpMaLumek-HwbuP-jpAfmSWW55 You can also learn more on my blog: https://deniseholt.us #activeinferenceai #FreeEnergyPrinciple #KarlFriston #spatialweb #AIEducation

NEW EPISODE: Host, Denise Holt, welcomes David Shapiro, an AI researcher and thought leader, as the special guest on this episode of the Spatial Web AI podcast. In this broad range conversation, Dave discusses the polarizing views on AI, acknowledging both its potential benefits and dangers. He emphasizes the need for careful deployment and solving problems that arise with new technologies. David also touches upon existential questions raised by creating super intelligent AI. He believes that while there may be a painful transition period, society has historically adapted to technological changes. The biggest challenges he sees in transitioning to AGI and ASI are organization and communication due to rapid advancements in AI. Additionally, he discusses how technology will change job markets and introduces the concept of post-labor economics where people will need to find new meaning outside of work. The conversation also explores how spatial web technologies could enhance accountability and prevention in various domains such as construction site safety or highway incidents involving unsecured cargo on trucks. Special thank you to Dave , for being on our show! Connect with David Shapiro on LinkedIn for consulting, speaking, training, or collaboration opportunities. https://www.linkedin.com/in/dave-shap-automator Include a note when connecting on LinkedIn to provide context and purpose. Consider joining Dave's Patreon for further engagement and access to his content. https://www.patreon.com/daveshap Check out our other Episodes and watch all the videos in the Knowledge Bank Playlist to learn more about the Spatial Web and Active Inference AI. You can also learn more on my blog: https://deniseholt.us #activeinferenceai #AGI #ASI #artificialintelligence #spatialweb #aigovernance

A groundbreaking industry report on the future of AI governance is discussed, highlighting innovative solutions to regulatory challenges and the lack of explainability in current AI models. The need for a novel approach to AI regulation is emphasized, along with the potential consequences for companies like OpenAI. The application of active inference and the spatial web protocol in AI governance is explored, as well as the role of the Spatial Web as a networked system for AI and the importance of cognitive architecture for cooperation between humans and AI. The future of AI regulation is examined, including the Prometheus project as a global regulatory sandbox.

NEW EPISODE: Special Guest - Brian "Ponch" Rivera - Founder, AGLX Consulting, Creator of The Flow System, and Co-Host of the No Way Out Podcast What is Active Inference AI? What is the Free Energy Principle (FEP)? And what do they have to do with agility, corporate leadership, and The Flow System? – Find out in this episode of the Spatial Web AI Podcast by Denise Holt.   A former navy pilot, Brian discusses his work in the agile community. He explains that he started a consulting firm, AGLX, to improve Scrum and Agile practices. He also introduces his concept of the Flow System, which focuses on team interactions and is influenced by complexity theory and distributed leadership. Brian talks about his TED Talk in Budapest on design for flow and mentions the loss of Mihaly Csikszentmihalyi, who coined the idea of flow from psychological flow. He describes how AGLX has expanded its focus beyond Agile and Scrum to include topics such as safety, innovation, artificial intelligence, psychedelic therapy, and fifth-generation warfare. Brian also discusses his podcast, No Way Out, centered around John Boyd's work on the OODA Loop and attracting guests from various disciplines. Denise asks Brian about the flow system's development and its connection to complex adaptive systems thinking. They talk about how interactions matter more than frameworks in creating agility within organizations. Brian emphasizes understanding one's external environment to develop effective strategies through an internal model or map. This aligns with concepts like active inference principles discussed in recent readings related to AI, autism research, psychedelics research, category theory, etc., which have connections with Boyd's OODA Loop framework.   ●     Brian discusses the creation of the Flow System and its purpose ●     They talk about the importance of context in understanding ●     Active Inference and Cognitive Task Analysis ●        A. Brian explains the concept of active inference ●        B. He discusses cognitive task analysis and how it helps in understanding ●     Brian emphasizes the need for individuals to develop an internal map of their external world. ●     They discuss the role of large language models and the need for active engagement. ●     Brian talks about the importance of effective debriefing and creating psychological safety. ●     They discuss the process of synthesizing and analyzing new information. ●     Brian mentions the importance of language and stories in shaping our perception of the world. ●     Brian shares a simple reading exercise to highlight the importance of context. ●     They discuss the challenge of getting the attention of leaders in organizations. ●     Brian mentions the use of active inference AI and rapid feedback in technical skills training. ●     They talk about the benefits of using large language models for learning. ●     Brian mentions the concept of cognitive warfare. ●     They discuss the importance of keeping context rich with data without interpretation. ●     Brian emphasizes the importance of finding new information that changes the way we view the world. ●     Brian emphasizes the importance of learning about what makes us human   Special thank you to Brian, for being on our show! You can learn more about The Flow System, AGLX Consulting, and the No Way Out Podcast on  their website here.   Check out our other Episodes and watch all the videos in the Knowledge Bank Playlist to learn more about the Spatial Web and Active Inference AI.   You can also learn more on my blog: https://deniseholt.us   #activeinferenceai #spatialcomputing #artificialintelligence #spatialweb #aigovernance

VERSES AI Compared with Open AI According to ChatGPT4  #futureofai #artificialintelligence by Denise Holt VERSES AI has developed a unique methodology that combines Active Inference AI with the Spatial Web Protocol, trained on real-time data within a common network of Intelligent Agents based on real-world events as they occur and unfold over time.   OpenAI administers a multi-modal methodology of generative Machine Learning AI derived from LLMs trained on text/image pairs.   In a mere three question conversation with ChatGPT4, the OpenAI bot provided a solid basis for understanding the greatest issues facing Machine Learning LLMs, the advantages of Active Inference AI over LLMs, and the way in which the next evolution of the internet protocol, the Spatial Web, when combined with Active Inference AI, can function as a nervous system for a company, city, or even larger systems.   ______________________   Special thanks to Dan Mapes, President and Co-Founder, VERSES AI and Director of The Spatial Web Foundation. If you’d like to know more about The Spatial Web, I highly recommend a helpful introductory book written by Dan and his VERSES Co-Founder, Gabriel Rene, titled, “The Spatial Web,” with a dedication “to all future generations.”   Listen to more episodes in my Knowledge Bank Playlist to learn everything you need to know to stay ahead of this rapidly accelerating technology.   Check out more on my blog at https://deniseholt.us   #futureofai #artificialintelligence #spatialweb #activeinference #ChatGPT4

Special Guest: Dr. Arsalan Abtahi – Executive Chair, Symphony – Inclusive Sustainable Smart Cities and the Spatial Web #futureofai #smartcities by Denise Holt   In this episode, we discuss Dr. Abtahi’s background as a medical doctor and how it relates to his work on creating inclusive, sustainable, smart cities through his organization Symphony. He talks about the challenges of building such cities, including competition and silos that hinder interoperability. Dr. Abtahi also describes the four pillars of inclusive, sustainable smart cities: environmental sustainability, social inclusion and community resilience, intelligent and participatory governance, and inclusive economic development. Dr. Abtahi explains the UN Sustainable Development Goals, which are made up of 17 different indicators. He discusses how technology, such as AI and the spatial web, can be used to achieve these goals by automating processes and improving quality of life. Abtahi compares a city's lack of functional architecture to a human's subconscious mind that automates survival. He notes that technology can fill this gap by automating things like food production and energy production so that people can focus on intellectual pursuits instead of worrying about basic needs. We discuss the lack of infrastructure that can maximize interoperability between siloed systems and create a holistic understanding of what's happening. He explains how the spatial web is filling this gap by creating an extracellular matrix that connects everything together, similar to human cells. Dr. Abtahi emphasizes the importance of measuring data from sensors in cities to create a comprehensive digital twin ecosystem for better management through programmable equilibrium, reflecting how big data and AI tools enable data driven decision making for policy making instead of relying solely on people who are wiser or smarter. He also emphasizes the importance of prioritizing Africa and Latin America in addressing infrastructure issues and closing the digital divide through multidisciplinary collaborations. Finally, he highlights the need for a collective mission towards more inclusive, sustainable ecosystems and changing our perspective on identity as individuals within a larger system, recognizing our commonalities and breaking down silos between individuals rather than focusing on differences. Special thanks to Dr. Arsalan Abtahi, for being on our show! If you’d like to know more about Symphony and how you can get involved, you can reach Dr. Abtahi on LinkedIn or Twitter: linkedin.com/in/arsalan-abtahi-m-d-279a12112 https://twitter.com/earthlingsdg   Check out our other Episodes and watch all the videos in the Knowledge Bank Playlist to learn more about how smart technologies work together with the Spatial Web and Active Inference AI.   You can also learn more on my blog: https://deniseholt.us   #smartcities #futureofai #artificialintelligence #spatialweb #UNSustainableDevelopmentGoals  

AI – The Maker vs. The Operator  |  LLMs vs. Active Inference AI   #futureofai #artificialintelligence by Denise Holt VERSES AI is a cognitive computing company that has overcome the limitations of machine learning AI, by building a new kind of artificial intelligence based on a real-time world model described as:   AI that grows in knowledge, perception and awareness through the evolving real-time data produced by all things, at all times, throughout our living, breathing, and ever-changing world.”   This is Active Inference AI, an entirely new type of networked AI that is designed for Real-Time Operations, including things like managing the daily operations of a hospital, an airport, global supply chains, an entire smart city, global drone and autonomous vehicle traffic, and other real-world activities. This introduces a new era of artificial intelligence which enables us to streamline, optimize and automate every mission-critical, real-life function that we interact with every day.   The days of training AI on big data with probabilistic results will give way to an interconnected “Internet of Everything” that deploys Active Inference AI throughout the network; inherently secure and accurate because it takes any point of real-time data and makes it smart through an empowered ecosystem of interconnected AI Apps called Intelligent Agents. This networked system operates in tandem with humans, growing its intelligence in sync with humans and the world.   ______________________   Special thanks to Dan Mapes, President and Co-Founder, VERSES AI and Director of The Spatial Web Foundation. If you’d like to know more about The Spatial Web, I highly recommend a helpful introductory book written by Dan and his VERSES Co-Founder, Gabriel Rene, titled, “The Spatial Web,” with a dedication “to all future generations.”   Listen to more episodes in my Knowledge Bank Playlist to learn everything you need to know to stay ahead of this rapidly accelerating technology.   Check out more at, SpatialWebAI and Spatial Web Foundation   #futureofai #artificialintelligence #spatialweb #intelligentagents #aitools

Spatial Web and the Era of AI - Part 3 – AGI is Coming Faster Than You Think   #futureofai #artificialintelligence by Denise Holt VERSES AI KOSMOS™ Slashes Developer Barrier to Entry for Building AI Apps   What if there was an opportunity to easily build an intelligent AI app, using a developer kit that would provide you with unlimited creative opportunities and use cases for the implementation, without the enormous cost of both time and money?   That’s exactly what VERSES AI has created.   VERSES AI is a next-gen AI company, developing a type of artificial intelligence that eclipses the capabilities of current machine learning/deep learning AI technology, through an artificial intelligence method called, Active Inference AI, which mimics the activity of biological organisms and how the human brain operates.   VERSES has created an operating system called, KOSMOS™, in which any developer can build an intelligent “Smart App” on top of it, enabling democratized AI app development… Think Apple App Store for artificial intelligence.   …   ______________________   Special thanks to Dan Mapes, President and Co-Founder, VERSES AI and Director of The Spatial Web Foundation. If you’d like to know more about The Spatial Web, I highly recommend a helpful introductory book written by Dan and his VERSES Co-Founder, Gabriel Rene, titled, “The Spatial Web,” with a dedication “to all future generations.”   Listen to more episodes in my Knowledge Bank Playlist to learn everything you need to know to stay ahead of this rapidly accelerating technology.   Check out more at, SpatialWebAI and Spatial Web Foundation   #futureofai #artificialintelligence #spatialweb #intelligentagents #aitools

Spatial Web and the Era of AI - Part 2 – AGI is Coming Faster Than You Think   #futureofai #artificialintelligence by Denise Holt Karl Friston and Active Inference AI   Why is Dr. Friston the Most Important Figure in the World of AI?   Dr. Karl Friston has been working on the concept of Active Inference and its application to artificial intelligence for more than a decade   … Friston and his colleagues have been exploring the use of Active Inference and the Free Energy Principle in artificial neural networking systems, developing methods and algorithms for Active Inference in machine learning and artificial intelligence.   … December 1, 2022, VERSES Technologies, a cognitive computing company specializing in next-generation AI, and creator of the Spatial Web Protocol, announced the addition of Dr. Karl Friston, welcoming him as Chief Scientist, leading VERSES AI research and development through Model Based AI for Active Inference.   Next generation AI systems must be based off a world model, holding definitive beliefs regarding the state of that world, with the ability to adapt and evolve within shared narratives.   The Spatial Web (Web 3.0) becomes this AI world model foundational ecosystem comprised of digital twins of every space, both real world and digital, along with every object — person, place, or thing within it.   Model-Based AI for Active Inference within this new Network of Everything, transforms into an artificial intelligence organism, that within itself represents the ultimate generative model for scaling to super intelligence. Utilizing the HSML context programming, baked into each entity within this new internet, a new collective super intelligence emerges actively learning and processing real time information and situational cues to continually refine its understanding of all things in all spaces. This ability for self-evidencing and self-organization naturally cultivates a more and more sophisticated entity of shared intelligence between human and machine, truly augmenting the human experience, redefining what it means to be human.,   ______________________   Special thanks to Dan Mapes, President and Co-Founder, VERSES AI and Director of The Spatial Web Foundation. If you’d like to know more about The Spatial Web, I highly recommend a helpful introductory book written by Dan and his VERSES Co-Founder, Gabriel Rene, titled, “The Spatial Web,” with a dedication “to all future generations.”   Listen to more episodes in my Knowledge Bank Playlist to learn everything you need to know to stay ahead of this rapidly accelerating technology.   Check out more at, SpatialWebAI and Spatial Web Foundation   #futureofai #artificialintelligence #spatialweb #intelligentagents #aitools

Spatial Web and the Era of AI - Part 1  #futureofai #artificialintelligence by Denise Holt Deep Learning Language Models vs. Cognitive Science The pioneering goal of Artificial Intelligence has been to understand how humans think. The original idea was to merge intellectual and computer contributions to learn about cognition.   In the 1990’s, a shift took place from a knowledge-driven AI approach to a data-driven AI approach, replacing the original objectives with a type of Machine Learning called Deep Learning, capable of analyzing large amounts of data, drawing conclusions from the results.   Deep Learning is a predictive machine model that operates off of pattern recognition. Some people believe that if you simply feed the model more and more data, then the AI will begin to evolve on its own, eventually reaching AGI (Artificial General Intelligence), the ‘Holy Grail’ of AI.    This theory, however, is viewed as being deeply flawed because these AI machines are not capable of “awareness” or the ability to “reason.” With Machine Learning/Deep Learning AI, there is no “thinking taking place.”    These predictive machines are void of any actual intelligence.    Scaling into bigger models by adding more and more parameters until these models consume the entire internet, will only prove useful to a point.   A larger data bank will not be able to solve for recognizing toxicity within the data structures, nor will it enable the ability to navigate sensitive data, permissioned information, protected identities, or intellectual property. A larger data bank does not enable reasoning or abstract thinking.   For AI to achieve the ultimate goal of AGI we need to be able to construct cognitive models of the world and map ‘meaning’ onto the data. We need a large database of abstract knowledge that can be interpreted by a machine imparting a level of ‘awareness’. Newton vs. Einstein Model Based AI for Active Inference is an Artificial Intelligence methodology that possesses all the ingredients required to achieve the breakthrough to AGI by surpassing all of the fundamental limitations of current Machine Learning/Deep Learning AI.   The difference between Machine Learning AI and Active Inference AI is as stark as the jump from Newton’s Laws of Universal Gravitation to Einstein’s Theory of Relativity.   In the late 1800’s, physicists believed that we had already discovered the laws that govern motion and gravity within our physical universe. Little did they know how naïve Isaac Newton’s ideas were, until Albert Einstein opened mankind’s eyes to spacetime and the totality of existence and reality.   This is what is happening with AI right now.   It’s simply not possible to get to AGI (Artificial General Intelligence) with a machine learning model, but AGI is inevitable with Active Inference.     ______________________   Special thanks to Dan Mapes, President and Co-Founder, VERSES AI and Director of The Spatial Web Foundation. If you’d like to know more about The Spatial Web, I highly recommend a helpful introductory book written by Dan and his VERSES Co-Founder, Gabriel Rene, titled, “The Spatial Web,” with a dedication “to all future generations.”   Listen to more episodes in my Knowledge Bank Playlist to learn everything you need to know to stay ahead of this rapidly accelerating technology.   Check out more at, SpatialWebAI and Spatial Web Foundation   #futureofai #artificialintelligence #spatialweb #intelligentagents #aitools